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With machine learning applications flourishing across different platforms, from large-scale data centers to small Internet of Things (IoT) devices, the need for better performance and efficiency keeps growing. In the 2019 system design contest held by Design Automation Conference (DAC), Prof. Cong Hao and her team won the first place with a special software-hardware co-design approach.
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Published in Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2020
Speculative TLB and nearest-entry TLB translation prediction by exploiting contiguity in physical address allocation.
Published in ISLPED: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, 2022
Proposed a unified architecture for FECs and implemented in ASIC.